scholarly journals The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health

2021 ◽  
Author(s):  
Rui Liu ◽  
Suraksha Gupta ◽  
Parth Patel
Keyword(s):  
Social Media ◽  
Health Care Professionals ◽  
Digital Health ◽  
Social Media Marketing ◽  
Ethical Concerns ◽  
Related Information ◽  
Health Related ◽  
Research Propositions ◽  
The Impact ◽  
Depth Interviews

AbstractSocial media enables medical professionals and authorities to share, disseminate, monitor, and manage health-related information digitally through online communities such as Twitter and Facebook. Simultaneously, artificial intelligence (AI) powered social media offers digital capabilities for organizations to select, screen, detect and predict problems with possible solutions through digital health data. Both the patients and healthcare professionals have benefited from such improvements. However, arising ethical concerns related to the use of AI raised by stakeholders need scrutiny which could help organizations obtain trust, minimize privacy invasion, and eventually facilitate the responsible success of AI-enabled social media operations. This paper examines the impact of responsible AI on businesses using insights from analysis of 25 in-depth interviews of health care professionals. The exploratory analysis conducted revealed that abiding by the responsible AI principles can allow healthcare businesses to better take advantage of the improved effectiveness of their social media marketing initiatives with their users. The analysis is further used to offer research propositions and conclusions, and the contributions and limitations of the study have been discussed.

scholarly journals Digital health literacy and online information seeking in times of COVID-19. A cross-sectional survey among university students in Germany (Preprint)

2020 ◽  
Author(s):  
Kevin Dadaczynski ◽  
Orkan Okan ◽  
Melanie Messer ◽  
Angela Y. M. Leung ◽  
Rafaela Rosário ◽  
...  
Keyword(s):  
Social Media ◽  
Health Literacy ◽  
University Students ◽  
Information Seeking ◽  
Digital Health ◽  
Online Information ◽  
Cross Sectional ◽  
Related Information ◽  
Health Related ◽  
Online Information Seeking

BACKGROUND Digital communication technologies play an important role in governments’ and public health authorities’ health communication strategies during the COVID-19 pandemic. The internet and social media have become important sources of health-related information on the coronavirus and on protective behaviours. In addition, the COVID-19 infodemic spreads faster than the coronavirus itself, which interferes with governmental health-related communication efforts. This puts national public health containment strategies in jeopardy. Therefore, digital health literacy is a key competence to navigate coronavirus-related information and service environments. OBJECTIVE This study aimed to investigate university students’ digital health literacy and online information seeking behaviours during the early stages of the coronavirus pandemic in Germany. METHODS A cross-sectional study among N=14,916 university students aged ≥18 from 130 universities across all sixteen federal states of Germany was conducted using an online survey. Along with sociodemographic characteristics (sex, age, subjective social status) measures included five subscales from the Digital Health Literacy Instrument (DHLI), which was adapted to the specific coronavirus context. Online information seeking behaviour was investigated by examining the online sources used by university students and the topics that students search for in connection with the coronavirus. Data were analysed using univariate and bivariate analyses. RESULTS Across digital health literacy dimensions, the greatest difficulties could be found for assessing the reliability of health-related information (42.3%) and the ability to determine whether the information was written with commercial interest (38.9%). Moreover, respondents also indicated that they most frequently have problems finding the information they are looking for (30.4%). When stratified according to sociodemographic characteristics, significant differences were found with female university students reporting a lower DHLI for the dimensions of ‘information searching’ and of ‘evaluating reliability’. Search engines, news portals and public bodies’ websites were most often used by the respondents as sources to search for information on COVID-19 and related issues. Female students were found to use social media and health portals more frequently, while male students used Wikipedia and other online encyclopaedias as well as YouTube more often. The use of social media was associated with a low ability to critically evaluate information, while opposite differences were observed for the use of public websites. CONCLUSIONS Although digital health literacy is, in summary, well developed in university students, a significant proportion of students still face difficulties with certain abilities to deal with information. There is need to strengthen the digital health literacy capacities of university students using tailored interventions. Improving the quality of health-related information on the internet is also key. CLINICALTRIAL

A patient information video for treatment under intravenous conscious sedation: considerations, challenges and prospects

Dental Update ◽  
2021 ◽  
Vol 48 (9) ◽  
pp. 752-758
Author(s):  
Harjit Tagar ◽  
Omesh Modgill ◽  
Jashme Patel ◽  
Julie Edwards ◽  
Olamide Obisesan
Keyword(s):  
Patient Experience ◽  
Patient Information ◽  
Dental Care ◽  
Conscious Sedation ◽  
Dental Treatment ◽  
Digital Health ◽  
Related Information ◽  
Health Related ◽  
The Impact ◽  
Insight Into

This article describes the use of a newly developed animation for the delivery of patient information pertinent to dental treatment performed under intravenous conscious sedation, and provides an understanding of how digital health-related information impacts upon the patient experience. This article provides insight into the rationale for using animation as a means to deliver healthcare-related information, the process undertaken to develop this animation and how the themes and imagery in the animation can be used more broadly to further enhance the patient experience in primary and secondary dental care settings. CPD/Clinical Relevance: This article outlines the process of developing an animation for patient information and the impact animation can have upon patient experience locally as an aid to delivering instructions.

scholarly journals Young People’s Perspectives on and Experiences of Health-Related Social Media, Apps, and Wearable Health Devices

2018 ◽  
Vol 7 (8) ◽  
pp. 137 ◽  
Author(s):  
Victoria A. Goodyear ◽  
Kathleen M. Armour
Keyword(s):  
Social Media ◽  
Young People ◽  
Digital Health ◽  
Wearable Devices ◽  
Evidence Based ◽  
Policy Makers ◽  
Health Technologies ◽  
Related Information ◽  
Health Related ◽  
Shape Influence

: It has been reported from numerous international and socio-economic contexts that young people are becoming increasingly interested in and/or using social media, apps, and wearable devices for their health. Yet, there are few robust empirical accounts on the types of health-related information young people find, select, and use, the reasons for their choices, and how young people use these technologies in a way that influences their health-related knowledge and behaviors. This paper synthesizes findings from three separate projects that investigated over 1600 young people’s (age 13–19) perspectives on and experiences of health-related social media, apps, and wearable health devices. The findings show that young people are both critical and vulnerable users and generators of digital health technologies. Many young people experience a range of positive benefits for their physical activity, diet/nutritional, and body image related behaviors. Yet there are a number of risks, and young people report on the power of digital health technologies to shape, influence, and change their health-related behaviors. The paper concludes by providing new and evidence-based direction and guidance on how relevant adults (including teachers, parents/guardians, health professionals/practitioners, policy-makers, and researchers) can better understand and support young people’s engagement with digital health technologies.

scholarly journals Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yahya Albalawi ◽  
Jim Buckley ◽  
Nikola S. Nikolov
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Comprehensive Evaluation ◽  
Classification Problem ◽  
Data Sets ◽  
Word Embeddings ◽  
Data Set ◽  
Lower Accuracy ◽  
Health Related ◽  
The Impact

AbstractThis paper presents a comprehensive evaluation of data pre-processing and word embedding techniques in the context of Arabic document classification in the domain of health-related communication on social media. We evaluate 26 text pre-processings applied to Arabic tweets within the process of training a classifier to identify health-related tweets. For this task we use the (traditional) machine learning classifiers KNN, SVM, Multinomial NB and Logistic Regression. Furthermore, we report experimental results with the deep learning architectures BLSTM and CNN for the same text classification problem. Since word embeddings are more typically used as the input layer in deep networks, in the deep learning experiments we evaluate several state-of-the-art pre-trained word embeddings with the same text pre-processing applied. To achieve these goals, we use two data sets: one for both training and testing, and another for testing the generality of our models only. Our results point to the conclusion that only four out of the 26 pre-processings improve the classification accuracy significantly. For the first data set of Arabic tweets, we found that Mazajak CBOW pre-trained word embeddings as the input to a BLSTM deep network led to the most accurate classifier with F1 score of 89.7%. For the second data set, Mazajak Skip-Gram pre-trained word embeddings as the input to BLSTM led to the most accurate model with F1 score of 75.2% and accuracy of 90.7% compared to F1 score of 90.8% achieved by Mazajak CBOW for the same architecture but with lower accuracy of 70.89%. Our results also show that the performance of the best of the traditional classifier we trained is comparable to the deep learning methods on the first dataset, but significantly worse on the second dataset.

The Influence of Social Media Marketing Efforts and Brand Equity on Consumer Response

MEDIASI ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 163-180
Author(s):  
Dwi Mandasari Rahayu
Keyword(s):  
Social Media ◽  
Brand Equity ◽  
Structural Equation ◽  
Consumer Response ◽  
Social Media Marketing ◽  
Equation Modeling ◽  
Brand Trust ◽  
Study Results ◽  
Brand Involvement ◽  
The Impact

This research aims to determine the effect of social media marketing on brand equity, the impact on consumer response, and the effect on consumer response. The research methodology used is a survey. The number for the sample is 269 Telkomsel Jabodetabek customers. This study uses three hypothetical relationship models. Data analysis used Structural Equation Modeling (SEM) to determine the test of the effect of independent variables on the dependent variable. The study results indicate the influence of social media marketing efforts on brand equity and consumer response. However, there is no effect between brand equity and consumer response. The limitation of this study is that it only examines Telkomsel's customer respondents and does not examine factors such as brand involvement, brand experience, brand trust, and brand satisfaction.

Public relations in the age of data: corporate perspectives on social media analytics (SMA)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kathy R. Fitzpatrick ◽  
Paula L. Weissman
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Social Media Analytics ◽  
Content Type ◽  
The Public ◽  
Management Function ◽  
Use Of Social Media ◽  
The Impact ◽  
Corporate Brands ◽  
Depth Interviews

PurposeThe aim of this study was to understand how public relations leaders view and use social media analytics (SMA) and the impact of SMA on the public relations function.Design/methodology/approachThe research involved in-depth interviews with chief communication officers (CCOs) from leading multinational corporate brands.FindingsThe findings revealed that although CCOs perceive social media analytics as strategically important to the advancement of public relations, the use of social media data is slowed by challenges associated with building SMA capacity.Theoretical and practical implications – The research extends public relations theory on public relations as a strategic management function and provides practical insights for building SMA capabilities.Originality/valueThe study is among the first to provide empirical evidence of how companies are using social media analytics to enhance public relations efforts.

scholarly journals Pregnancy-Related Information Seeking and Sharing in the Social Media Era Among Expectant Mothers: Qualitative Study (Preprint)

2019 ◽  
Author(s):  
Chengyan Zhu ◽  
Runxi Zeng ◽  
Wei Zhang ◽  
Richard Evans ◽  
Rongrong He
Keyword(s):  
Social Media ◽  
Pregnant Women ◽  
Information Seeking ◽  
Chinese Culture ◽  
Instant Messaging ◽  
Media Usage ◽  
Related Information ◽  
Expectant Mothers ◽  
Media Channels ◽  
The Impact

BACKGROUND Social media has become the most popular communication tool used by Chinese citizens, including expectant mothers. An increasing number of women have adopted various forms of social media channels, such as interactive websites, instant messaging, and mobile apps, to solve problems and obtain answers to queries during pregnancy. Although the use of the internet by pregnant women has been studied extensively worldwide, limited research exists that explores the changing social media usage habits in China, where the 1 child policy ended in 2015. OBJECTIVE This study aimed to (1) present the status quo of pregnancy-related information seeking and sharing via social media among Chinese expectant mothers, (2) reveal the impact of social media usage, and (3) shed light on pregnancy-related health services delivered via social media channels. METHODS A qualitative approach was employed to examine social media usage and its consequences on pregnant women. A total of 20 women who had conceived and were at various stages of pregnancy were interviewed from July 20 to August 10, 2017. Thematic analysis was conducted on the collected data to identify patterns in usage. RESULTS Overall, 80% (16/20) of participants were aged in their 20s (mean 28.5 years [SD 4.3]). All had used social media for pregnancy-related purposes. For the seeking behavior, 18 codes were merged into 4 themes, namely, gravida, fetus, delivery, and the postpartum period; whereas for sharing behaviors, 10 codes were merged into 4 themes, namely, gravida, fetus, delivery, and caretaker. Lurking, small group sharing, bad news avoidance, and cross-checking were identified as the preferred patterns for using social media. Overall, 95% (19/20) of participants reported a positive mental impact from using social media during their pregnancy. CONCLUSIONS It is indisputable that social media has played an increasingly important role in supporting expectant mothers in China. The specific seeking and sharing patterns identified in this study indicate that the general quality of pregnancy-related information on social media, as well as Chinese culture toward pregnancy, is improving. The new themes that merge in pregnancy-related social media use represent a shift toward safe pregnancy and the promotion of a more enjoyable pregnancy. Future prenatal care should provide further information on services related to being comfortable during pregnancy and reducing the inequality of social media–based services caused by the digital divide.

scholarly journals Understanding Social Media Marketing activities in Western Balkans

2021 ◽  
Vol 72 (6) ◽  
pp. 869-893
Author(s):  
Visar Rrustemi ◽  
Gezim Jusufi
Keyword(s):  
Social Media ◽  
Empirical Research ◽  
Digital Marketing ◽  
Social Media Marketing ◽  
Probit Regression ◽  
Western Balkans ◽  
Online Consumers ◽  
Marketing Activities ◽  
Business Policies ◽  
The Impact

Digital marketing activities through social media are being developed extensively by firms in the Western Balkans region, therefore the purpose of this paper is to investigate the impact of social media marketing activities on increasing sales of SMEs in the Western Balkans, with special emphasis on those of Kosovo. Using a sample of 100 manufacturing SMEs, we have researched the impact of digital marketing activities which are carried out through social media, on increasing the sales or turnover of these SMEs. The achieved results were analyzed through probit regression. The results show that facebook is mostly used for business activities in these SMEs. Also, the analyzed SMEs give a lot of importance to the opinions and comments of consumers expressed on social media. They design their business policies based on the comments and opinions received from online consumers. This empirical research provides data on the implementation of social media marketing activities by SMEs in the Western Balkans region.

scholarly journals #ForYou: The User’s Perspective on How TikTok Recommends Videos

2020 ◽  
Author(s):  
Marco Scalvini
Keyword(s):  
Thematic Analysis ◽  
Recommendation System ◽  
Safe Space ◽  
Self Identity ◽  
Ethical Concerns ◽  
Private Data ◽  
The Impact ◽  
Social Causes ◽  
Depth Interviews ◽  
Ethical Responsibilities

<p>The current study is aimed at understanding the impact of TikTok’s recommendation system. The algorithm is perceived as very efficient in targeting users but raises several ethical concerns regarding the ability to manipulate users’ experience and the extent to which private data and preferences are respected. Utilizing the data collected from 40 in-depth interviews, this study explores: How do users perceive TikTok’s ethical responsibilities in regard to their algorithmic recommendation system? Furthermore, the analysis discusses and evaluates the tension between a) how the platform’s algorithm feeds users similar videos that they highly appreciate; and, inversely, b) how the diversification of recommendations is limited. A thematic analysis shows interviewees describe TikTok as a safe space where users can be themselves and feel included in a community of people interested in posting content to connect and engage meaningfully beyond difference. However, the algorithm is perceived as harmful because it tries to manipulate and drive users towards specific videos that increase their ‘addiction’ to the platform. Interviewees consider some of the recommendations on the ForYou page to be questionable because they aimed at persuading or nudging in favor of particular hashtags and social causes. This contradiction may partly be explained by the fact that interviewees report their rationalizations in a performative manner in order to avoid feelings of dissonance while attempting to relate to their own self-identity. This observation leads to the idea that the concept of mediated diversity can explain the tension between the expectation of similarity and diversity. </p>

Sign in / Sign up

Export Citation Format

Share Document